Research on Image Segmentation Algorithm based on Fuzzy C-mean Clustering

作     者：Xiaona SONG Zuobing WANG 

作者机构：Computer Science and Technology DepartmentCollege of EngineeringYantai Nanshan University Longkou 265713China 

出 版 物：《International Journal of Technology Management》 (国际技术管理)

年 卷 期：2015年第2期

页      面：28-30页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Image segmentation Fuzzy clustering Fuzzy c-means Spatial information Anti-noise 

摘      要：This paper presents a fuzzy C- means clustering image segmentation algorithm based on particle swarm optimization, the method utilizes the strong search ability of particle swarm clustering search center. Because the search clustering center has small amount of calculation according to density, so it can greatly improve the calculation speed of fuzzy C- means algorithm. The experimental results show that, this method can make the fuzzy clustering to obviously improve the speed, so it can achieve fast image segmentation.